Radio resource
management is of central importance in emerging heterogeneous networks. As the
size of cells continues to shrink, traffic variations over time in a given cell
become increasingly pronounced. Adapting resource allocation across cells to
their traffic conditions is both rewarding and challenging. In this talk, we
describe a framework for modeling the topology of a multi-cell system, the
dynamic traffic, user association, and spectrum allocation on a relatively slow
timescale. We formulate convex and nonconvex optimization problems that can be
solved efficiently to minimize the average packet sojourn time in a network of
up to dozens of cells. Simulation shows significant throughput and delay
advantages over optimized static allocation schemes. This is joint work with
Binnan Zhuang, Michael L. Honig, and Ermin Wei.

Bio:

Dongning
Guo joined the Department of Electrical Engineering and Computer Science at
Northwestern University, Evanston, IL, in 2004, where he has been promoted to
Professor. He received the B.Eng. degree
from the University of Science and Technology of China, the M.Eng. degree from
the National University of Singapore, and the M.A. and Ph.D. degrees from Princeton
University, Princeton, NJ. He has been an Associate Editor of IEEE Transactions
on Information Theory, an Editor of Foundations and Trends in Communications
and Information Theory, and a Guest Editor for the IEEE Journal on Selected
Areas in Communications. He is a co-recipient of the IEEE Marconi Prize Paper
Award in Wireless Communications in 2010 and also a recipient of the National
Science Foundation Faculty Early Career Development (CAREER) Award in 2007.